Amazon Redshift vs IBM Db2 Warehouse comparison

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Amazon Web Services (AWS) Logo
8,203 views|6,066 comparisons
87% willing to recommend
IBM Logo
973 views|521 comparisons
71% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon Redshift and IBM Db2 Warehouse based on real PeerSpot user reviews.

Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Amazon Redshift vs. IBM Db2 Warehouse Report (Updated: March 2024).
768,740 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The product is relatively easy to use because there is no indexing and no partitions.""The main benefit is that our portal for end users is running in AWS, so we can easily connect it to other AWS services.""The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good.""The feature that we find most useful is the ability to do analytics on the fly.""Redshift allows you to transform different data formats and consolidate them into one Redshift cluster. This means you can transform various siloed data sources like Excel files and CSV files into Redshift.""Redshift's Excel features are handy. Redshift spectrum allows you to directly query the data on an Excel sheet. Now, SQL Server also allows this, but Redshift has many more features.""I find the most valuable features to be the MPP style of processing, which mostly all of the data warehouses provide. The ability to integrate all other AWS services, such as NSS and S3, with little effort is very helpful. The service is well maintained, there are update patches frequently.""The ability to reload data multiple times at different times."

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"Some of the best features are stored procedures, parallelism, and different indexing strategies.""The analytics engine is not bad at forecasting predictions.""I think it scales really well and as long as you take enough time to learn a little bit about it, it works really well.""The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data.""Provides good security and reliability.""It can be mounted on the cloud, which is a huge plus. If the client, for example, starts small with on-premise deployment and then it rapidly needs to grow, we can transfer this to the cloud easily."

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Cons
"Planting is the primary key enforcement that should be improved.""It takes a lot of time to ingest and update the data.""I would like to improve the pricing and the simplicity of using this solution.""The solution is unable to work fast.""The speed of the solution and its portability needs improvement.""We recently moved from the DC2 cluster to the RA3 cluster, which is a different node type and we are finding some issues with the RA3 cluster regarding connection and processing. There is room for improvement in this area. We are in talks with AWS regarding the connection issues.""The OLAP slide and dice features need to be improved.""It would be useful to have an option where all of the data can be queried at once and then have the result shown."

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"IBM Db2 Warehouse needs to improve its interface.""The biggest challenge anyone could have with Db2 Warehouse is their references or online resources and documentation. They are very, very, very limited on the web.""There should be more material available for training and training should be free.""Lacks sufficient documentation and particularly in Spanish.""The biggest problems we have is when the backup solution is failing or slow and we run out of log space, which has happened probably a couple of times in the last four years.""In terms of improvement, IBM Db2 Warehouse should be more scalable.""The areas of the solution that is needing the most improvement are separating compute from storage, elasticity, which means scaling up and then retracting."

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Pricing and Cost Advice
  • "Redshift is very cost effective for a cloud based solution if you need to scale it a lot. For smaller data sizes, I would think about using other products."
  • "If you want a fixed price, an to not worry about every query, but you need to manage your nodes personally, use Redshift."
  • "BI is sold to our customer base as a part of the initial sales bundle. A customer may elect to opt for a white labeled site for an up-charge."
  • "One of my customers went with Google Big Query over Redshift because it was significantly cheaper for their project."
  • "Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive."
  • "It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20."
  • "The best part about this solution is the cost."
  • "The part that I like best is that you only pay for what you are using."
  • More Amazon Redshift Pricing and Cost Advice →

  • "In a traditional on-prem database, in a data warehouse, the solution is probably on the expensive side."
  • More IBM Db2 Warehouse Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different… more »
    Top Answer:Redshift Spectrum is the most valuable feature.
    Top Answer:The standout feature of IBM Db2 Warehouse, which is particularly valuable for large enterprises, is its ability to handle big data.
    Top Answer:Db2 is a very expensive database. In comparison to Oracle, for example, where the cost depends on the size of the implementation. For an enterprise database, the cost is mid-range.
    Top Answer:IBM Db2 Warehouse needs to improve its interface.
    Ranking
    4th
    Views
    8,203
    Comparisons
    6,066
    Reviews
    23
    Average Words per Review
    480
    Rating
    7.7
    14th
    out of 34 in Data Warehouse
    Views
    973
    Comparisons
    521
    Reviews
    3
    Average Words per Review
    363
    Rating
    7.3
    Comparisons
    Also Known As
    InfoSphere Warehouse, IBM InfoSphere Warehouse
    Learn More
    IBM
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    Overview

    What is Amazon Redshift?

    Amazon Redshift is a fully administered, petabyte-scale cloud-based data warehouse service. Users are able to begin with a minimal amount of gigabytes of data and can easily scale up to a petabyte or more as needed. This will enable them to utilize their own data to develop new intuitions on how to improve business processes and client relations.

    Initially, users start to develop a data warehouse by initiating what is called an Amazon Redshift cluster or a set of nodes. Once the cluster has been provisioned, users can seamlessly upload data sets, and then begin to perform data analysis queries. Amazon Redshift delivers super-fast query performance, regardless of size, utilizing the exact SQL-based tools and BI applications that most users are already working with today.

    The Amazon Redshift service performs all of the work of setting up, operating, and scaling a data warehouse. These tasks include provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine.

    Amazon Redshift Functionalities

    Amazon Redshift has many valuable key functionalities. Some of its most useful functionalities include:

    • Cluster administration: The Amazon Redshift cluster is a group of nodes that contains a leader node and one (or more) compute node(s). The compute nodes needed are dependent on the data size, amount of queries needed, and the query execution functionality desired.
    • Cluster snapshots: Snapshots are backups of a cluster from an exact point in time. Amazon Redshift offers two types of snapshots: manual and automated. Amazon will store these snapshots internally in the Amazon Simple Storage Service (Amazon S3) utilizing an SSL connection. Whenever a Snapshot restore is needed, Amazon Redshift will create a new cluster and will import data from the snapshot as directed. 
    • Cluster access: Amazon Redshift provides several intuitive features to help define connectivity rules, encrypt data and connections, and control the overall access of your cluster.
    • IAM credentials and AWS accounts: The Amazon Redshift cluster is only accessible by the AWS account that created the cluster. This automatically secures the cluster and keeps it safe. Inside the AWS account, users access the AWS Identity and IAM protocol to create additional user accounts and manage permissions, granting specified users the desired access needed to control cluster performance.
    • Encryption: Users have the option to choose to encrypt the clusters for additional added security once the cluster is provisioned. When encryption is enabled, Amazon Redshift will store all the data in user-created tables in a secure encrypted format. To manage Amazon Redshift encryption keys, users will access AWS Key Management Service (AWS KMS).

    Reviews from Real Users

    Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there.” - Kundan A., Senior Consultant at Dynamic Elements AS

    “With the cloud version whenever you want to deploy, you can scale up, and down, and it has a data warehousing capability. Redshift has many features. They have enriched and elaborate documentation that is helpful.”- Aishwarya K., Solution Architect at Capgemini

    InfoSphere Warehouse is a suite of products that combines the strength of DB2 with a data warehousing infrastructure from IBM. You can use InfoSphere Warehouse to build a complete data warehousing solution that includes a highly scalable relational database, data access capabilities, and front-end analysis tools.
    Sample Customers
    Liberty Mutual Insurance, 4Cite Marketing, BrandVerity, DNA Plc, Sirocco Systems, Gainsight, Blue 449
    Alameda County Social Services Agency, Sui Southern Gas Company Limited
    Top Industries
    REVIEWERS
    Computer Software Company32%
    Comms Service Provider14%
    Manufacturing Company11%
    Retailer11%
    VISITORS READING REVIEWS
    Educational Organization50%
    Financial Services Firm9%
    Computer Software Company7%
    Manufacturing Company4%
    VISITORS READING REVIEWS
    Educational Organization52%
    Financial Services Firm9%
    Computer Software Company7%
    Insurance Company4%
    Company Size
    REVIEWERS
    Small Business40%
    Midsize Enterprise24%
    Large Enterprise37%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise54%
    Large Enterprise36%
    REVIEWERS
    Small Business44%
    Midsize Enterprise11%
    Large Enterprise44%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise54%
    Large Enterprise37%
    Buyer's Guide
    Amazon Redshift vs. IBM Db2 Warehouse
    March 2024
    Find out what your peers are saying about Amazon Redshift vs. IBM Db2 Warehouse and other solutions. Updated: March 2024.
    768,740 professionals have used our research since 2012.

    Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 reviews while IBM Db2 Warehouse is ranked 14th in Data Warehouse with 8 reviews. Amazon Redshift is rated 7.8, while IBM Db2 Warehouse is rated 7.6. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". On the other hand, the top reviewer of IBM Db2 Warehouse writes "Useful for ETL process and has good documentation ". Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Teradata, Vertica and Microsoft Azure Synapse Analytics, whereas IBM Db2 Warehouse is most compared with Oracle Exadata, Snowflake, Apache Hadoop, IBM Db2 Warehouse on Cloud and BigQuery. See our Amazon Redshift vs. IBM Db2 Warehouse report.

    See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.

    We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.